![]() The illustrations came about from my collection of paper ephemera, and a lot of digital manipulation. The poems followed naturally through, allowing me to weave a pattern of deep emotion through a weft of scientific fact. I was reading about cosmology at the time, and as I took my habitual walks across the marshes, I pondered on the dimensions of space and time through which I was passing, as well as existing euphorically in the moment with the first stirrings of spring. These illustrated poems were created, one per day, during April 2013, for National Poetry Writing Month, an annual international event. This is a limited edition print run of 1000. Listed as one of the Best Science Books of 2014 by Maria Popova. ![]() ![]() The gold-foiled softcover book contains 30 illustrated poems and scientific notes. An anthology of illustrated poems about science, cosmology and nature. ![]()
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![]() ![]() This one is much more subtle, only claiming that he perceives that “men as plants increase,” simply implying that reproduction is natural.īut the part of this poem that I found most interesting is lines 3 and 4: What struck me as different in this sonnet is his entreating to the youth to become a father is much more subdued than in his other ones, where he sometimes vehemently urges the youth to procreate. This falls into the category of “fair youth” sonnets and is one of Shakespeare’s procreation sonnets. The imagery that Shakespeare employs really connected with me. To change your day of youth to sullied night Īnd all in war with Time for love of you, Sets you most rich in youth before my sight, Vaunt in their youthful sap, at height decrease,Īnd wear their brave state out of memory When I perceive that men as plants increase,Ĭheered and cheque’d even by the self-same sky, ![]() Whereon the stars in secret influence comment That this huge stage presenteth nought but shows 1579 drawing of the Great Chain of Being from Didacus Valades ![]() ![]() ![]() ![]() Ĭhollet is the author of Deep Learning with Python, the co-author with Joseph J. He is the author of Xception: Deep Learning with Depthwise Separable Convolutions, which is among the top ten most cited papers in CVPR proceedings. His papers have been published at major conferences in the field, including the Conference on Computer Vision and Pattern Recognition (CVPR), the Conference on Neural Information Processing Systems (NeurIPS), the International Conference on Learning Representations (ICLR). ![]() Ĭhollet graduated with a Master of Engineering from the ENSTA Paris school in 2012 and started working at Google in 2015. His research focuses on computer vision, the application of machine learning to formal reasoning, abstraction, and how to achieve greater generality in artificial intelligence. Chollet is the creator of the Keras deep-learning library, released in 2015, and a main contributor to the TensorFlow machine learning framework. François Chollet ( French: born 20 October 1989) is a French software engineer and artificial intelligence researcher currently working at Google. ![]() |